The Movie dataset [1]} spans a wide range of topics with few spelling mistakes and contains about 240,000 dialogue triples, which makes it suitable for studying the relevance-diversity tradeoff in multi-turn conversations [2]}. The Ubuntu dialog dataset extracted from the Ubuntu
Relay Chat Channel [3]} contains about 1.85 million conversations with an average of 5 utterances per conversation. This dataset is ideal for training dialogue models that can provide expert knowledge/recommendation in domain-specific conversations.
